By leveraging IoT and machine learning, Enten helps farmers produce more and better food, in a reliable, efficient and sustainable manner.

To support agronomic and business decisions, Enten collects microclimate data using proprietary, state-of-the-art remote-sensing equipment and integrates data from satellites, drones, agricultural machinery or mobile devices, in order to get enriched information as a basis for recommendations to farmers.

Collected data feeds proprietary decision-making support platform, where dynamic interactions between crops, pathogens and climate are continuously monitored, to determine the health, needs and stress factors for crops, as well as the windows of opportunity for treatments and agricultural works. 

The risk for pests and diseases is based on scientific models and algorithms subject to amelioration with machine learning and artificial intelligence. Enten agronomists integrate the multiple layers of information and use the tools and interactions available in the platform to provide context-rich recommendations to farmers along the entire crop production cycle.

Using Enten integrated solution, farmers also benefit from the digitalization of crop management processes and have access to tailor-made reports and analysis on factor variability and harvest-related risks, thereby getting valuable insights to more confidently assess the impact of their decisions on farm activities and field crops. 

Innovation is part of Enten culture and our goal is to become a one-stop-shop for agronomic decision, allowing farmers to make informed decisions in order to increase crop yields and decrease production costs, while facing climate challenges and protecting the environment.

By delivering data-driven agriculture, Enten is able to provide unique analysis and business intelligence tools to stakeholders within various ecosystems, from food retailers, financing institutions and insurance companies, to inputs distributors and public institutions.

Enten Systems

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